Affiliation:
1. Humboldt-Universität zu Berlin
2. Arizona State University
3. University of Maryland
4. Universidad Simon Bolivar
Abstract
An abundance of life sciences data sources contain data about scientific entities such as genes and sequences. Scientists are interested in exploring relationships between scientific objects, e.g., between genes and bibliographic citations. A scientist may choose the OMIM source, which contains information related to human genetic diseases, as a starting point for her exploration, and wish to eventually retrieve all related citations from the PUBMED source. Starting with a keyword search on a certain disease, she can explore all possible relationships between genes in OMIM and citations in PUBMED. This corresponds to the following query:
"Return all citations of
PUBMED
that are linked to an
OMIM
entry that is related to some disease or condition."
Publisher
Association for Computing Machinery (ACM)
Subject
Information Systems,Software
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Mapping Declarative Queries to Heterogeneous Biological Databases using Schema Graphs for Intelligent Responses;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12
2. An access cost-aware approach for object retrieval over multiple sources;Proceedings of the VLDB Endowment;2010-09
3. An Introduction to Duplicate Detection;Synthesis Lectures on Data Management;2010-01
4. Reasoning on Scientific Workflows;2009 Congress on Services - I;2009-07
5. Customized and Optimized Service Selection with ProtocolDB;Lecture Notes in Computer Science;2009